标题： 领导者的特质：通过社会语言学建模预测用户影响力水平 显示英文标题

标题： Traits of a Leader: User Influence Level Prediction through Sociolinguistic Modeling

摘要： 识别用户的影响水平引起了广泛关注，因为人类互动正在向线上转移。 有影响力用户有能力影响他人的观点以实现某些目标。 因此，预测用户的影响水平有助于理解社交网络、预测趋势、防止虚假信息等。 然而，预测用户影响力是一个具有挑战性的问题，因为影响的概念取决于特定的情境或领域，且用户的交流仅限于文本。 在本工作中，我们将用户影响力水平定义为社区支持的函数，并开发了一种模型，通过利用人口统计和个性数据，显著优于基线模型。 该方法在八个不同领域中持续提高了RankDCG分数。 显示英文摘要

摘要： Recognition of a user's influence level has attracted much attention as human interactions move online. Influential users have the ability to sway others' opinions to achieve some goals. As a result, predicting users' level of influence can help to understand social networks, forecast trends, prevent misinformation, etc. However, predicting user influence is a challenging problem because the concept of influence is specific to a situation or a domain, and user communications are limited to text. In this work, we define user influence level as a function of community endorsement and develop a model that significantly outperforms the baseline by leveraging demographic and personality data. This approach consistently improves RankDCG scores across eight different domains.